Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence
Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence
Agent Communication Languages: The Current Landscape
IEEE Intelligent Systems
A Semantic Web Primer
Domain Independent Learning of Ontology Mappings
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
Automatic prediction of misconceptions in multilingual computer-mediated communication
Proceedings of the 11th international conference on Intelligent user interfaces
A jabber-based multi-agent system platform
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
ACM SIGMOD Record
Networked reminiscence therapy for individuals with dementia by using photo and video sharing
Proceedings of the 8th international ACM SIGACCESS conference on Computers and accessibility
The role of annotation in intercultural communication
UI-HCII'07 Proceedings of the 2nd international conference on Usability and internationalization
Bridging semantic gap in distant communication: ontology-based approach
KES-AMSTA'08 Proceedings of the 2nd KES International conference on Agent and multi-agent systems: technologies and applications
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This paper introduces a multi-agent system to bridge the semantic gap during a conversation between people of different knowledge levels. The system is intended to support smooth communication for providing a definition or explanation of keywords on a specific subject by means of text and graphical format to online users with poor skills. In this framework, software agents act as a personal assistant that monitors the user's information. The Extensible Messaging and Presence Protocol (XMPP) is used for agent message transport and instant messaging (IM) at the same time. Although the conversation keyword is identical, the provision of information is different depending on the user's level of knowledge. The paper describes a sample scenario of computer usage operations in an English composition class that can effectively be applied in a teaching environment. We create domain ontology for students to perform mapping with the teacher's ontology to solve the semantic heterogeneity problem. Bridging the semantic gap helps users to communicate easily without considering the knowledge barrier.